Raptor AI research hub

AI Rankings, GEO, and LLM Visibility

Field notes on how brands earn visibility inside ChatGPT, Claude, Perplexity, Google AI Overviews, and the next generation of answer engines. This is where we document the experiments, audits, wins, and misses behind our own authority push.

AI Rankings

How to track whether a brand appears in AI-generated answers, which competitors appear instead, and which sources influence the answer.

AI Audits

Prompt-set testing, citation review, entity checks, schema review, content gaps, and the practical scorecards we use for client work.

GEO and AEO

Generative engine optimization and answer engine optimization, explained without pretending they replace every traditional SEO principle.

AI-Ready Sites

How site structure, page copy, internal links, metadata, schema, robots rules, and crawl access affect machine understanding.

Start Here

Read the Raptor AI guide to SEO for AI

Start with the core framework: trust signals, topical authority, and AI-structured content.

Run the AI Brand Check tool

Use a simple prompt audit to see whether AI systems understand your brand correctly.

Review Raptor AI consulting services

See how AI visibility, AI-ready sites, memory systems, and training fit into paid work.

Published Research

We are early in the public log. The point is to show the work as it compounds, including low starting numbers, technical cleanup, and the experiments that do or do not move AI visibility.

2026-05-06· AI-SEO· GEO· Case Study
We Are Our Own Case Study: Documenting Raptor’s AI-SEO Journey
A public log of how we apply our own AI-SEO methodology to raptorai.dev: baseline metrics, weekly experiments, and what actually moves the needle in LLM visibility.
Read the Raptor AI public AI-SEO case study

Research Roadmap

These are the topics we need to own if Raptor AI is going to become a credible authority for AI rankings, AI audits, AI sites, consulting, and teaching. Each item is designed to become a standalone article, teardown, checklist, or tool.

How to build a buyer-intent prompt set for an AI visibility audit.
What ChatGPT, Claude, Perplexity, and Google AI Overviews each need from a source page.
How llms.txt, robots.txt, sitemaps, schema, and HTML content fit together.
What makes a service business credible enough for AI systems to cite.
How to teach a non-technical team to maintain AI visibility after the first audit.